Eugene Kim
Quantitative Researcher
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolEugene Kim is a quantitative researcher and seasoned software engineer with 12 years of experience building low-latency, production-grade systems for trading and large-scale ML infrastructure. Currently at Citadel Securities working on systematic options after transitioning from systematic equities and FICC, he blends algorithmic research with software optimization to squeeze performance out of both models and runtime. Prior roles at Google include improving Vertex AI training infrastructure and accelerating ad traffic validation pipelines, where he delivered significant latency and throughput gains. His academic work at Georgia Tech focused on parallelizing tensor factorization and performance tuning across CPU/GPU, reflecting a deep background in numerical methods and systems-level optimization. Based in New York, he is comfortable moving between research, production engineering, and performance profiling to turn complex algorithms into reliable, high-performance services.
12 years of coding experience
8 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Georgia Institute of TechnologyKorea Digital Media High School
English, Korean, Japanese
Github Skills (13)
vertex7
sdk7
science6
python5
artificial-intelligence5
machine-learning5
azerothcore4
dub4
data-science4
vertex-ai3
trinitycore3
mlops2
scalable1
Programming languages (3)
Github contributions (5)
conankun/conankun.github.io
Jun 2016 - Jul 2022
Contributions:38 pushes, 1 branch, 1 comment in 6 years 2 months
conankun/jmbook
May 2020 - May 2020
코난쿤이 해결한 알고리즘 문제 해결 전략 (종만북)에 나오는 문제들
Contributions:45 commits, 10 PRs, 42 pushes in 6 days
python
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